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Chen H, Cao T, Zhang B, Cai H. The regulatory effects of second-generation antipsychotics on lipid metabolism: Potential mechanisms mediated by the gut microbiota and therapeutic implications. Front Pharmacol 2023; 14:1097284. [PMID: 36762113 PMCID: PMC9905135 DOI: 10.3389/fphar.2023.1097284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Accepted: 01/12/2023] [Indexed: 01/26/2023] Open
Abstract
Second-generation antipsychotics (SGAs) are the mainstay of treatment for schizophrenia and other neuropsychiatric diseases but cause a high risk of disruption to lipid metabolism, which is an intractable therapeutic challenge worldwide. Although the exact mechanisms underlying this lipid disturbance are complex, an increasing body of evidence has suggested the involvement of the gut microbiota in SGA-induced lipid dysregulation since SGA treatment may alter the abundance and composition of the intestinal microflora. The subsequent effects involve the generation of different categories of signaling molecules by gut microbes such as endogenous cannabinoids, cholesterol, short-chain fatty acids (SCFAs), bile acids (BAs), and gut hormones that regulate lipid metabolism. On the one hand, these signaling molecules can directly activate the vagus nerve or be transported into the brain to influence appetite via the gut-brain axis. On the other hand, these molecules can also regulate related lipid metabolism via peripheral signaling pathways. Interestingly, therapeutic strategies directly targeting the gut microbiota and related metabolites seem to have promising efficacy in the treatment of SGA-induced lipid disturbances. Thus, this review provides a comprehensive understanding of how SGAs can induce disturbances in lipid metabolism by altering the gut microbiota.
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Affiliation(s)
- Hui Chen
- Department of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, China,Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, China,Institute of Clinical Pharmacy, Central South University, Changsha, China,International Research Center for Precision Medicine, Transformative Technology and Software Services, Changsha, Hunan, China
| | - Ting Cao
- Department of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, China,Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, China,Institute of Clinical Pharmacy, Central South University, Changsha, China,International Research Center for Precision Medicine, Transformative Technology and Software Services, Changsha, Hunan, China
| | - Bikui Zhang
- Department of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, China,Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, China,Institute of Clinical Pharmacy, Central South University, Changsha, China,International Research Center for Precision Medicine, Transformative Technology and Software Services, Changsha, Hunan, China,*Correspondence: Bikui Zhang, ; Hualin Cai,
| | - Hualin Cai
- Department of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, China,Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, China,Institute of Clinical Pharmacy, Central South University, Changsha, China,International Research Center for Precision Medicine, Transformative Technology and Software Services, Changsha, Hunan, China,*Correspondence: Bikui Zhang, ; Hualin Cai,
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2
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Mills J. More than a Half-Century with Haloperidol: Glories, Disparities, and Use Today. Issues Ment Health Nurs 2023; 44:83-87. [PMID: 36630647 DOI: 10.1080/01612840.2022.2158683] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Affiliation(s)
- Jeremy Mills
- Peninsula, a Division of Parkwest Medical Center, Knoxville, Tennessee, USA
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3
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Lambert AM, Parretti HM, Pearce E, Price MJ, Riley M, Ryan R, Tyldesley-Marshall N, Avşar TS, Matthewman G, Lee A, Ahmed K, Odland ML, Correll CU, Solmi M, Marshall T. Temporal trends in associations between severe mental illness and risk of cardiovascular disease: A systematic review and meta-analysis. PLoS Med 2022; 19:e1003960. [PMID: 35439243 PMCID: PMC9017899 DOI: 10.1371/journal.pmed.1003960] [Citation(s) in RCA: 35] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Accepted: 03/08/2022] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Severe mental illness (SMI; schizophrenia, bipolar disorders (BDs), and other nonorganic psychoses) is associated with increased risk of cardiovascular disease (CVD) and CVD-related mortality. To date, no systematic review has investigated changes in population level CVD-related mortality over calendar time. It is unclear if this relationship has changed over time in higher-income countries with changing treatments. METHODS AND FINDINGS To address this gap, a systematic review was conducted, to assess the association between SMI and CVD including temporal change. Seven databases were searched (last: November 30, 2021) for cohort or case-control studies lasting ≥1 year, comparing frequency of CVD mortality or incidence in high-income countries between people with versus without SMI. No language restrictions were applied. Random effects meta-analyses were conducted to compute pooled hazard ratios (HRs) and rate ratios, pooled standardised mortality ratios (SMRs), pooled odds ratios (ORs), and pooled risk ratios (RRs) of CVD in those with versus without SMI. Temporal trends were explored by decade. Subgroup analyses by age, sex, setting, world region, and study quality (Newcastle-Ottawa scale (NOS) score) were conducted. The narrative synthesis included 108 studies, and the quantitative synthesis 59 mortality studies (with (≥1,841,356 cases and 29,321,409 controls) and 28 incidence studies (≥401,909 cases and 14,372,146 controls). The risk of CVD-related mortality for people with SMI was higher than controls across most comparisons, except for total CVD-related mortality for BD and cerebrovascular accident (CVA) for mixed SMI. Estimated risks were larger for schizophrenia than BD. Pooled results ranged from SMR = 1.55 (95% confidence interval (CI): 1.33 to 1.81, p < 0.001), for CVA in people with BD to HR/rate ratio = 2.40 (95% CI: 2.25 to 2.55, p < 0.001) for CVA in schizophrenia. For schizophrenia and BD, SMRs and pooled HRs/rate ratios for CHD and CVD mortality were larger in studies with outcomes occurring during the 1990s and 2000s than earlier decades (1980s: SMR = 1.14, 95% CI: 0.57 to 2.30, p = 0.71; 2000s: SMR = 2.59, 95% CI: 1.93 to 3.47, p < 0.001 for schizophrenia and CHD) and in studies including people with younger age. The incidence of CVA, CVD events, and heart failure in SMI was higher than controls. Estimated risks for schizophrenia ranged from HR/rate ratio 1.25 (95% CI: 1.04 to 1.51, p = 0.016) for total CVD events to rate ratio 3.82 (95% CI: 3.1 to 4.71, p < 0.001) for heart failure. Incidence of CHD was higher in BD versus controls. However, for schizophrenia, CHD was elevated in higher-quality studies only. The HR/rate ratios for CVA and CHD were larger in studies with outcomes occurring after the 1990s. Study limitations include the high risk of bias of some studies as they drew a comparison cohort from general population rates and the fact that it was difficult to exclude studies that had overlapping populations, although attempts were made to minimise this. CONCLUSIONS In this study, we found that SMI was associated with an approximate doubling in the rate ratio of CVD-related mortality, particularly since the 1990s, and in younger groups. SMI was also associated with increased incidence of CVA and CHD relative to control participants since the 1990s. More research is needed to clarify the association between SMI and CHD and ways to mitigate this risk.
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Affiliation(s)
- Amanda M Lambert
- Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom
| | - Helen M Parretti
- Norwich Medical School, University of East Anglia, Norwich, United Kingdom
| | - Emma Pearce
- Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom
| | - Malcolm J Price
- Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom.,NIHR Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, United Kingdom
| | - Mark Riley
- Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom
| | - Ronan Ryan
- Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom
| | | | - Tuba Saygın Avşar
- Department of Applied Health Research, University College London, London, United Kingdom
| | - Gemma Matthewman
- Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom
| | - Alexandra Lee
- Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom
| | - Khaled Ahmed
- Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom
| | - Maria Lisa Odland
- Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom.,Department of Obstetrics and Gynecology, St Olavs Hospital, Trondheim University Hospital, Trondheim, Norway.,Malawi-Liverpool-Wellcome Trust Research Institute, Blantyre, Malawi.,Institute of Life Course and Medical Sciences, University of Liverpool, United Kingdom
| | - Christoph U Correll
- The Zucker Hillside Hospital, Department of Psychiatry, Northwell Health, Glen Oaks, New York, United States of America.,Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Department of Psychiatry and Molecular Medicine, Hempstead, New York, United States of America.,Charité Universitätsmedizin Berlin, Department of Child and Adolescent Psychiatry, Berlin, Germany
| | - Marco Solmi
- Department of Psychiatry, University of Ottawa, Ontario, Canada.,Department of Mental Health, The Ottawa Hospital, Ontario, Canada.,Ottawa Hospital Research Institute (OHRI), Clinical Epidemiology Program, University of Ottawa, Ottawa, Ontario, Canada
| | - Tom Marshall
- Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom
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Nkondo-Ndaba MP, Joubert PM, Ballyram T, van Rensburg CJ. Influence of first- and second-generation antipsychotics on anthropometric parameters of male psychiatric patients. S Afr J Psychiatr 2022. [DOI: 10.4102/sajpsychiatry.v2i0.1772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
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Sonethavy M, Morvillers JM. Promotion de la santé en psychiatrie et santé mentale : l’exemple du syndrome métabolique et des pratiques infirmières. Rech Soins Infirm 2022; 147:55-66. [DOI: 10.3917/rsi.147.0055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
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6
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Wagner E, Siafis S, Fernando P, Falkai P, Honer WG, Röh A, Siskind D, Leucht S, Hasan A. Efficacy and safety of clozapine in psychotic disorders-a systematic quantitative meta-review. Transl Psychiatry 2021; 11:487. [PMID: 34552059 PMCID: PMC8458455 DOI: 10.1038/s41398-021-01613-2] [Citation(s) in RCA: 59] [Impact Index Per Article: 19.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 08/19/2021] [Accepted: 09/07/2021] [Indexed: 02/08/2023] Open
Abstract
A recent increase in the literature regarding the evidence base for clozapine has made it increasingly difficult for clinicians to judge "best evidence" for clozapine use. As such, we aimed at elucidating the state-of-the-art for clozapine with regard to efficacy, effectiveness, tolerability, and management of clozapine and clozapine-related adverse events in neuropsychiatric disorders. We conducted a systematic PRISMA-conforming quantitative meta-review of available meta-analytic evidence regarding clozapine use. Primary outcome effect sizes were extracted and transformed into relative risk ratios (RR) and standardized mean differences (SMD). The methodological quality of meta-analyses was assessed using the AMSTAR-2 checklist. Of the 112 meta-analyses included in our review, 61 (54.5%) had an overall high methodological quality according to AMSTAR-2. Clozapine appears to have superior effects on positive, negative, and overall symptoms and relapse rates in schizophrenia (treatment-resistant and non-treatment-resistant subpopulations) compared to first-generation antipsychotics (FGAs) and to pooled FGAs/second-generation antipsychotics (SGAs) in treatment-resistant schizophrenia (TRS). Despite an unfavorable metabolic and hematological adverse-event profile compared to other antipsychotics, hospitalization, mortality and all-cause discontinuation (ACD) rates of clozapine surprisingly show a pattern of superiority. Our meta-review outlines the superior overall efficacy of clozapine compared to FGAs and most other SGAs in schizophrenia and suggests beneficial efficacy outcomes in bipolar disorder and Parkinson's disease psychosis (PDP). More clinical studies and subsequent meta-analyses are needed beyond the application of clozapine in schizophrenia-spectrum disorders and future studies should be directed into multidimensional clozapine side-effect management to foster evidence and to inform future guidelines.
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Affiliation(s)
- Elias Wagner
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany.
| | - Spyridon Siafis
- grid.15474.330000 0004 0477 2438Department of Psychiatry and Psychotherapy, School of Medicine, Technische Universität München, Klinikum rechts der Isar, Munich, Germany
| | - Piyumi Fernando
- grid.7307.30000 0001 2108 9006Department of Psychiatry, Psychotherapy and Psychosomatics of the University Augsburg, Bezirkskrankenhaus Augsburg, Medical Faculty, University of Augsburg, Augsburg, Germany
| | - Peter Falkai
- grid.5252.00000 0004 1936 973XDepartment of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - William G. Honer
- grid.17091.3e0000 0001 2288 9830Department of Psychiatry, The University of British Columbia, Vancouver, Canada
| | - Astrid Röh
- grid.7307.30000 0001 2108 9006Department of Psychiatry, Psychotherapy and Psychosomatics of the University Augsburg, Bezirkskrankenhaus Augsburg, Medical Faculty, University of Augsburg, Augsburg, Germany
| | - Dan Siskind
- grid.1003.20000 0000 9320 7537School of Medicine, University of Queensland, Brisbane, Australia ,Metro South Addiction and Mental Health Service, Brisbane, Australia
| | - Stefan Leucht
- grid.15474.330000 0004 0477 2438Department of Psychiatry and Psychotherapy, School of Medicine, Technische Universität München, Klinikum rechts der Isar, Munich, Germany
| | - Alkomiet Hasan
- grid.5252.00000 0004 1936 973XDepartment of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany ,grid.7307.30000 0001 2108 9006Department of Psychiatry, Psychotherapy and Psychosomatics of the University Augsburg, Bezirkskrankenhaus Augsburg, Medical Faculty, University of Augsburg, Augsburg, Germany
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7
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Carnovale C, Lucenteforte E, Battini V, Mazhar F, Fornili M, Invernizzi E, Mosini G, Gringeri M, Capuano A, Scavone C, Nobile M, Vantaggiato C, Pisano S, Bravaccio C, Radice S, Clementi E, Pozzi M. Association between the glyco-metabolic adverse effects of antipsychotic drugs and their chemical and pharmacological profile: a network meta-analysis and regression. Psychol Med 2021; 52:1-13. [PMID: 33622426 DOI: 10.1017/s0033291721000180] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
BACKGROUND Glyco-metabolic deteriorations are the most limiting adverse reactions to antipsychotics in the long term. They have been incompletely investigated and the properties of antipsychotics that determine their magnitude are not clarified.To rank antipsychotics by the magnitude of glyco-metabolic alterations and to associate it to their pharmacological and chemical properties, we conducted a network meta-analysis. METHODS We searched PubMed, Embase, and Psycinfo on 10 September 2020. We selected studies containing the endpoint-baseline difference or the distinct values of at least one outcome among glucose, HbA1c, insulin, HOMA-IR, triglycerides, total/HDL/LDL cholesterols. Of 2094 articles, 46 were included in network meta-analysis. Study quality was assessed by the RoB 2 and ROBINS-I tools. Mean differences (MD) were obtained by random-effects network meta-analysis; relations between MD and antipsychotic properties were analyzed by linear regressions. Antipsychotic properties investigated were acidic and basic pKa, polar surface area, polarizability, and occupancies of D2, H1, M1, M3, α1A, α2A, 5-HT1A, 5-HT2A, 5-HT2C receptors. RESULTS We meta-analyzed 46 studies (11 464 patients); on average, studies lasted 15.47 weeks, patients had between 17.68 and 61.06 years of mean age and 61.64% were males. Olanzapine and clozapine associated with greater deteriorations, aripiprazole and ziprasidone with smaller deteriorations. Higher polarizability and 5-HT1A receptor occupancy were associated with smaller deteriorations, H1, M1, and M3 receptor occupancies with larger deteriorations. CONCLUSIONS Drug rankings may guide antipsychotic switching toward metabolically safer drugs. Mechanistic insights may suggest improvements for combination therapies and drug development. More data are required regarding newer antipsychotics.
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Affiliation(s)
- Carla Carnovale
- Unit of Clinical Pharmacology, Department of Biomedical and Clinical Sciences L. Sacco, "Luigi Sacco" University Hospital, Università di Milano, Milan, Italy
| | - Ersilia Lucenteforte
- Unit of Medical Statistics, Department of Clinical and Experimental Medicine, University of Pisa, Via Savi 10, 56126Pisa, Italy
| | - Vera Battini
- Unit of Clinical Pharmacology, Department of Biomedical and Clinical Sciences L. Sacco, "Luigi Sacco" University Hospital, Università di Milano, Milan, Italy
| | - Faizan Mazhar
- Unit of Clinical Pharmacology, Department of Biomedical and Clinical Sciences L. Sacco, "Luigi Sacco" University Hospital, Università di Milano, Milan, Italy
| | - Marco Fornili
- Unit of Medical Statistics, Department of Clinical and Experimental Medicine, University of Pisa, Via Savi 10, 56126Pisa, Italy
| | - Elena Invernizzi
- Unit of Clinical Pharmacology, Department of Biomedical and Clinical Sciences L. Sacco, "Luigi Sacco" University Hospital, Università di Milano, Milan, Italy
| | - Giulia Mosini
- Unit of Clinical Pharmacology, Department of Biomedical and Clinical Sciences L. Sacco, "Luigi Sacco" University Hospital, Università di Milano, Milan, Italy
| | - Michele Gringeri
- Unit of Clinical Pharmacology, Department of Biomedical and Clinical Sciences L. Sacco, "Luigi Sacco" University Hospital, Università di Milano, Milan, Italy
| | - Annalisa Capuano
- Department of Experimental Medicine, Campania Regional Centre for Pharmacovigilance and Pharmacoepidemiology, Section of Pharmacology "L. Donatelli", University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Cristina Scavone
- Department of Experimental Medicine, Campania Regional Centre for Pharmacovigilance and Pharmacoepidemiology, Section of Pharmacology "L. Donatelli", University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Maria Nobile
- Scientific institute IRCCS E. Medea, Bosisio Parini, LC, 23892, Italy
| | | | - Simone Pisano
- Department of Translational Medical Sciences, Federico II University, Naples, Italy
- Department of Neuroscience, AORN Santobono-Pausilipon, Naples, Italy
| | - Carmela Bravaccio
- Department of Translational Medical Sciences, Federico II University, Naples, Italy
| | - Sonia Radice
- Unit of Clinical Pharmacology, Department of Biomedical and Clinical Sciences L. Sacco, "Luigi Sacco" University Hospital, Università di Milano, Milan, Italy
| | - Emilio Clementi
- Unit of Clinical Pharmacology, Department of Biomedical and Clinical Sciences L. Sacco, "Luigi Sacco" University Hospital, Università di Milano, Milan, Italy
- Scientific institute IRCCS E. Medea, Bosisio Parini, LC, 23892, Italy
| | - Marco Pozzi
- Scientific institute IRCCS E. Medea, Bosisio Parini, LC, 23892, Italy
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Effects of olanzapine treatment on lipid profiles in patients with schizophrenia: a systematic review and meta-analysis. Sci Rep 2020; 10:17028. [PMID: 33046806 PMCID: PMC7552389 DOI: 10.1038/s41598-020-73983-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Accepted: 09/07/2020] [Indexed: 02/08/2023] Open
Abstract
Olanzapine-induced dyslipidemia significantly increases the risk of cardiovascular disease in patients with schizophrenia. However, the clinical features of olanzapine-induced dyslipidemia remain hitherto unclear because of inconsistencies in the literature. This meta-analysis thus investigated the effects of olanzapine treatment on lipid profiles among patients with schizophrenia. Studies of the effects of olanzapine on lipids were obtained through the PubMed, Web of science, The Cochrane Library and Embase databases (up to January 1, 2020). Twenty-one studies and 1790 schizophrenia patients who received olanzapine therapy were included in our analysis. An olanzapine-induced increase was observed in plasma triglyceride (TG), total cholesterol (TC), and low-density lipoprotein cholesterol (LDL-C) levels in patients with schizophrenia (all P < 0.05). Moreover, the time points analyzed included the following: baseline, 4 weeks, 6 weeks, 8 weeks, 12 weeks, and ≥ 24 weeks (data of ≥ 24 weeks were integrated). The significant elevation of TG, TC, and LDL-C was observed in patients with schizophrenia already by 4 weeks of olanzapine therapy (all P < 0.05), with no obvious changes observed in high-density lipoprotein cholesterol (HDL-C) (P > 0.05). In conclusion, olanzapine-induced dyslipidemia, characterized by increased TG, TC, and LDL-C levels, was observed in patients with schizophrenia already by 4 weeks of olanzapine treatment.
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9
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Mazereel V, Detraux J, Vancampfort D, van Winkel R, De Hert M. Impact of Psychotropic Medication Effects on Obesity and the Metabolic Syndrome in People With Serious Mental Illness. Front Endocrinol (Lausanne) 2020; 11:573479. [PMID: 33162935 PMCID: PMC7581736 DOI: 10.3389/fendo.2020.573479] [Citation(s) in RCA: 71] [Impact Index Per Article: 17.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Accepted: 09/23/2020] [Indexed: 12/12/2022] Open
Abstract
People with serious mental illness (SMI), including schizophrenia, bipolar disorder, and major depressive disorder, have a higher mortality rate and shortened life expectancy. This is mainly attributable to physical diseases, particularly cardiovascular diseases (CVDs). Important risk factors for CVDs are obesity and other metabolic abnormalities, which are especially prevalent in people with SMI. Several factors contribute to this increased risk, including unhealthy lifestyles. Psychotropic medication independently further increases this risk. In this review we want to examine the relationship between obesity and other components of the metabolic syndrome and psychotropic medication in people with SMI.
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Affiliation(s)
- Victor Mazereel
- Department of Neurosciences, Center for Clinical Psychiatry, KU Leuven, Leuven, Belgium
- University Psychiatric Center, KU Leuven, Kortenberg, Belgium
| | - Johan Detraux
- University Psychiatric Center, KU Leuven, Kortenberg, Belgium
| | - Davy Vancampfort
- University Psychiatric Center, KU Leuven, Kortenberg, Belgium
- Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium
| | - Ruud van Winkel
- Department of Neurosciences, Center for Clinical Psychiatry, KU Leuven, Leuven, Belgium
- University Psychiatric Center, KU Leuven, Kortenberg, Belgium
| | - Marc De Hert
- Department of Neurosciences, Center for Clinical Psychiatry, KU Leuven, Leuven, Belgium
- University Psychiatric Center, KU Leuven, Kortenberg, Belgium
- Antwerp Health Law and Ethics Chair, AHLEC University Antwerpen, Antwerp, Belgium
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10
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Epigenetic histone modulations of PPARγ and related pathways contribute to olanzapine-induced metabolic disorders. Pharmacol Res 2020; 155:104703. [DOI: 10.1016/j.phrs.2020.104703] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2019] [Revised: 02/11/2020] [Accepted: 02/13/2020] [Indexed: 12/22/2022]
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11
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Routine screening and rates of metabolic syndrome in patients treated with clozapine and long-acting injectable antipsychotic medications: a cross-sectional study. Ir J Psychol Med 2020; 38:40-48. [DOI: 10.1017/ipm.2020.12] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
ObjectivesTo examine the rate of monitoring of metabolic syndrome and actual rates of metabolic syndrome in two patient cohorts [clozapine treatment and long-acting injectable (LAI) antipsychotic] who are reviewed on an equally regular basis (1–4 weekly) for administration of treatment.MethodsClinical and laboratory data are examined on 119 patients treated with clozapine and 116 patients treated with LAI antipsychotic medications to determine the rates of metabolic syndrome and evidence of monitoring for metabolic syndrome in the previous 6 months. Individuals with insufficient data from these cohorts were invited to attend for metabolic screening to determine actual rates of metabolic syndrome in these two cohorts of patients.ResultsAll metabolic parameters were monitored to a significantly greater extent in the clozapine cohort (>90%), compared to those treated with LAI antipsychotic medications (<50%) (blood pressure, weight, lipid and glucose levels; p < 0.001). Metabolic syndrome was present in 38.9% of those treated with clozapine compared to 31.1% of patients treated with LAI antipsychotic medications (X2 = 0.54, p = 0.46).ConclusionsThese findings suggest that a robust screening plan should be in place to monitor for metabolic syndrome in individuals treated with LAI antipsychotic medications. This screening should include measurement of body weight, waist circumference, fasting glucose, lipids and fasting insulin levels. Early recognition of abnormal metabolic parameters allows early intervention, therefore, improving long-term cardiovascular outcomes.
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12
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Meftah AM, Deckler E, Citrome L, Kantrowitz JT. New discoveries for an old drug: a review of recent olanzapine research. Postgrad Med 2020; 132:80-90. [DOI: 10.1080/00325481.2019.1701823] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Affiliation(s)
- Amir M Meftah
- Department of Psychiatry, Columbia University, New York, NY, USA
- Schizophrenia Research, Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | - Elizabeth Deckler
- Department of Psychiatry, Columbia University, New York, NY, USA
- University of Miami Miller School of Medicine, Miami, FL, USA
| | - Leslie Citrome
- Department of Psychiatry, New York Medical College, Valhalla, NY, USA
| | - Joshua T Kantrowitz
- Department of Psychiatry, Columbia University, New York, NY, USA
- Schizophrenia Research, Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA
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